@Article{iasc.2020.013932,
AUTHOR = {Fan Bingxu},
TITLE = {Design and Analysis of a Rural Accurate Poverty Alleviation Platform Based on Big Data},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {26},
YEAR = {2020},
NUMBER = {3},
PAGES = {549--555},
URL = {http://www.techscience.com/iasc/v26n3/40014},
ISSN = {2326-005X},
ABSTRACT = {Poverty alleviation has always been the focus of China's work. According to the 
survey, the poverty population in rural areas has been reduced to a large 
extent, and the unemployed have had the lowest historical record in history. Big 
data technology is a new technology that has slowly emerged in recent years. 
The use of big data technology to create a visual platform for rural poverty 
alleviation is a relatively new idea at this stage. And we use the Map-reducebased big data missing value filling algorithm, which is designed to solve the 
data loss phenomenon in the query process. It greatly improves search quality 
and improves a series of problems in the current platform for accurate poverty 
alleviation and visualization.},
DOI = {10.32604/iasc.2020.013932}
}